Mining of Mineral Deposits

ISSN 2415-3443 (Online)

ISSN 2415-3435 (Print)

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Modeling the stability of air flows in inclined workings in case of fire

Dmytro Brovko1, Roman Makareiko2, Serhiy Sakhno1, Lyudmyla Yanova1, Olena Pischikova1

1Kryvyi Rih National University, Kryvyi Rih, Ukraine

2State Militarized Mine-Rescue (Rescue) Squad Public Service of Ukraine for Emergencies, Kryvyi Rih, Ukraine


Min. miner. depos. 2024, 18(3):52-62


https://doi.org/10.33271/mining18.03.052

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      ABSTRACT

      Purpose. Development of a mathematical model and study of the processes occurring during conveyor belt fires in inclined mines to determine the mechanism of air flow distribution under appropriate conditions.

      Methods. Practical measurements of the distribution of air flows in an inclined conveyor operated at the mining and processing plant of PJSC ArcelorMittal Kryvyi Rih were carried out. Based on the obtained data, a mathematical model was crea-ted, which was then used to perform Computational Fluid Dynamics (CFD) modeling of gas flows in the mine under normal conditions and in the event of a fire with a thermal capacity of 9 MW.

      Findings. The study reveals the peculiarities of gas flows during the combustion of a conveyor belt in inclined workings, as well as the influence of turbulence on the flow, changes in the density of gases during heating, and the impact of gravity on the distribution of gases in the cross-section and along the length of the workings. A fire centre with a heat output of 9 MW has a significant impact on the distribution of air flows. The phenomenon of thermal expansion results in a 59.2% increase in the volume of gases behind the fire. The thermal expansion of gases and their low density have a significant impact on the formation of gas flows in inclined workings. As the jet moves away from the centre of the fire, the velocity of the jet gradually increases, reaching a value of 12.4 m/s. This results in a notable alteration in the distribution of total pressure across adjacent workings, accompanied by an increase in flow turbulence. Consequently, the mass of air exiting the right branch is observed to have a five-fold increase in comparison to the pre-fire state. The overturning of the jet from the left branch of the workings gives rise to the exclusive distribution of combustion products along the right branch.

      Originality. The study helps to understand the mechanism of jet overturning and the peculiarities of the distribution of combustion products in case of fire in inclined conveyor workings.

      Practical implications. The results of the research allow us to predict the probability of fire, identify the most dangerous areas for fire, and plan the most rational actions for firefighting in specific unique conditions.

      Keywords: underground fire, mine safety, ventilation network, mining, Computational Fluid Dynamics


      REFERENCES

  1. Hodge, R.A., Ericsson, M., Löf, O., Löf, A., & Semkowich, P. (2022). The global mining industry: Corporate profile, complexity, and change. Mineral Economics, 35(3-4), 587-606. https://doi.org/10.1007/s13563-022-00343-1
  2. Sviridenko, Yu. (2022). The government is betting on the development of four priority sectors that will become the engine for the recovery of the Ukrainian economy. [Electronic resources]. Kyiv, Ukraine: Ministry of Economy of Ukraine.
  3. Parra, P.O., Quispe, M.P., Caceres, E.M., Cahuaya, I.C., Condori, C.M., Gomez, E.C., & Merma, E.V. (2021). Safety and health in mining. International Journal of Engineering and Management Research, 11(4), 232-235. https://doi.org/10.31033/ijemr.11.4.28
  4. Martikainen, A., & Dougherty, H. (2014). Intake belt air safety by the numbers. Safety Science, 62, 130-135. https://doi.org/https://doi.org/10.1016/j.ssci.2013.08.017
  5. Wu, M., Hu, N., Ye, Y., Wang, Q., & Wang, X. (2022). Multi-hazard risk characterization and collaborative control oriented to space in non-coal underground mines. Scientific Reports, 12(1), 16452. https://doi.org/10.1038/s41598-022-20437-8
  6. Shi, D., Liu, X., & He, L. (2023). A review on mine fire prevention technology and theory based on bibliometric analysis. Sustainability, 15(24), 16639. https://doi.org/10.3390/su152416639
  7. Wang, F., Tan, B., Chen, Y., Fang, X., Jia, G., Wang, H., Cheng, G., & Shao, Z. (2022). A visual knowledge map analysis of mine fire research based on CiteSpace. Environmental Science and Pollution Research, 29(51), 77609-77624. https://doi.org/10.1007/s11356-022-20993-6
  8. Zhang, X.-K. (1997). Principle and application of underground engineering fire. Beijing, China: Capital University of Economics and Business Press.
  9. Aleksandrov, S., Bulgakov, Y., & YAjlo, V. (2012). Ohrana truda v ugol’noy promyshlennosti. Donetsk, Ukraina: DonNTU, 480 s.
  10. Lentini, J.J. (2018). Scientific protocols for fire investigation. London, United Kingdom: CRC Press, 608 p. https://doi.org/10.4324/9781315178097
  11. Madrzykowski, D. (2013). Fire dynamics: The science of fire fighting. International Fire Service Journal of Leadership and Management, 7, 1-8.
  12. Khan, M.M., Tewarson, A., & Chaos, M. (2016). Combustion characteristics of materials and generation of fire products. SFPE Handbook of Fire Protection Engineering, 1143-1232. https://doi.org/10.1007/978-1-4939-2565-0_36
  13. Biteau, H., Steinhaus, T., Schemel, C., Simeoni, A., Marlair, G., Bal, N., & Torero, J.L. (2008). Calculation methods for the heat release rate of materials of unknown composition. Fire Safety Science, 9, 1165-1176. https://doi.org/10.3801/IAFSS.FSS.9-1165
  14. Nscort, A. (2003). Estimation of rate of heat release by means of oxygen consumption measurements. Project 1 – Solid Thermophilic Aerobic Reactor, 280-282.
  15. Huggett, C. (1980). Estimation of rate of heat release by means of oxygen consumption measurements. Fire and Materials, 4, 61-65. https://doi.org/10.1002/fam.810040202
  16. Wachowicz, J. (1997). Heat release rate in evaluation of conveyor belts in full-scale fire tests. Fire and Materials, 21, 253-257. https://doi.org/10.1002/(SICI)1099-1018(199711/12)21:6<253::AID-FAM618>3.0.CO;2-E
  17. Yuan, L., Mainiero, R.J., Rowland, J.H., Thomas, R.A., & Smith, A.C. (2014). Numerical and experimental study on flame spread over conveyor belts in a large-scale tunnel. Journal of Loss Prevention in the Process Industries, 30(1), 55-62. https://doi.org/10.1016/J.JLP.2014.05.001
  18. Shwager, N., Nesterenko, O., & Komisarenko, T. (2018). The review of methods and means of extinguishing of mine fires. Science Rise, 4, 19-26. https://doi.org/10.15587/2313-8416.2018.128683
  19. Hallman, D.S. (2024). A review of coal mine fire extinguishment methods. Emergency Management Science and Technology, 4, e005. https://doi.org/10.48130/emst-0024-0004
  20. Liu, L., Liu, J., & Zhou, Q. (2022). Mine ventilation system reliability evaluation based on a Markov chain. Scientific Reports, 12(1), 17115. https://doi.org/10.1038/s41598-022-22098-z
  21. Hou, J., Nie, G., Li, G., Zhao, W., & Sheng, B. (2023). Optimization of branch airflow volume for mine ventilation network based on sensitivity matrix. Sustainability, 15(16), 12427. https://doi.org/10.3390/su151612427
  22. Wu, F., Zhao, H., & Wang, T. (2024). Development and implementation of mine ventilation network calibration using a two-step method. Mining, Metallurgy & Exploration, 41(1), 193-205. https://doi.org/10.1007/s42461-023-00910-2
  23. McGrattan, K.B., McDermott, R., Weinschenk, C., Overholt, K., Hostikka, S., & Floyd, J. (2013). Fire dynamics simulator technical reference guide. Volume 1: Mathematical model. Gaithersburg, Unites states: National Institute of Standards and Technology, 149 p. https://doi.org/10.6028/NIST.SP.1018e6
  24. Wang, Y., Chatterjee, P., & de Ris, J.L. (2011). Large eddy simulation of fire plumes. Proceedings of the Combustion Institute, 33(2), 2473-2480. https://doi.org/10.1016/j.proci.2010.07.031
  25. Tabibian, S.M., Najafabadi, M.K., & Shahizare, B. (2019). Review of common fire ventilation methods and Computational Fluid Dynamics simulation of exhaust ventilation during a fire event in Velodrome as case study. SN Applied Sciences, 1(7), 685. https://doi.org/10.1007/s42452-019-0700-4
  26. Lowndes, I.S., Silvester, S.A., Giddings, D., Pickering, S., Hassan, A., & Lester, E. (2007). The computational modelling of flame spread along a conveyor belt. Fire Safety Journal, 42(1), 51-67. https://doi.org/https://doi.org/10.1016/j.firesaf.2006.08.002
  27. Muhasilovic, M., & Duhovnik, J. (2012). CFD-based investigation of the response of mechanical ventilation in the case of tunnel-fire. Strojniski Vestnik / Journal of Mechanical Engineering, 58(3), 183-190. https://doi.org/10.5545/sv-jme.2009.091
  28. Cheong, M.K., Spearpoint, M.J., & Fleischmann, C.M. (2009). Calibrating an FDS simulation of goods-vehicle fire growth in a tunnel using the Runehamar experiment. Journal of Fire Protection Engineering, 19(3), 177-196. https://doi.org/10.1177/1042391508101981
  29. Shibani, F.S., Reddy, N.S.K., Jalalifar, S., & Abbassi, R. (2021). Ceiling temperature assessment of a reduced scale tunnel in the event of two hydrogen jet fires. Safety in Extreme Environments, 3(2), 133-142. https://doi.org/10.1007/s42797-021-00038-w
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